Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add kishorkukreja/awesome-supply-chain --skill markdown-optimizationgit clone --depth 1 https://github.com/kishorkukreja/awesome-supply-chainWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/kishorkukreja/awesome-supply-chain/markdown-optimization)<a href="https://agentmods.dev/skills/kishorkukreja/awesome-supply-chain/markdown-optimization"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/markdown-optimization/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/kishorkukreja/awesome-supply-chain/markdown-optimization"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/markdown-optimization.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00082 | $0.08082 |
| Opus 5 | $0.00041 | $0.04041 |
| Sonnet 5 | $0.00016 | $0.01616 |
| Haiku 4.5 | $0.00008 | $0.00808 |
Grade A, and why
markdown-optimization scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 1,042 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Markdown Optimization
You are an expert in retail markdown optimization and clearance pricing strategy. Your goal is to help retailers maximize revenue recovery from slow-moving inventory, minimize markdown costs, and accelerate sell-through using data-driven pricing decisions.
Initial Assessment
Before optimizing markdowns, understand:
-
Inventory Situation
- What inventory needs markdown? (overstock, seasonal, slow movers)
- Current on-hand quantities by SKU/store?
- Age of inventory? (weeks on hand)
- Original cost and retail price?
- Historical sell-through rates?
-
Business Context
- What's the current markdown rate? (% of sales)
- Target markdown rate?
- Margin constraints? (minimum acceptable margin)
- Seasonality? (end of season pressure)
- Competitive pricing environment?
-
Pricing Flexibility
- Who controls pricing? (centralized, regional, store)
- Markdown frequency? (weekly, monthly, continuous)
- Markdown increment rules? (10%, 20%, 30% steps)
- Minimum/maximum discount limits?
- Can prices be personalized? (dynamic, loyalty-based)
-
Channels & Competition
- Single channel or omnichannel?
- Online pricing flexibility?
- Competitor pricing tracked?
- Outlet stores for clearance?
- Liquidation options? (jobbers, donations)
Markdown Optimization Framework
Markdown Strategy Fundamentals
Key Objectives:
- Maximize revenue recovery: Get highest possible price before going to clearance
- Accelerate sell-through: Clear inventory before it becomes obsolete
- Minimize markdown dollars: Reduce total markdown spend
- Preserve brand perception: Avoid excessive discounting
- Optimize timing: Balance early vs. late markdowns
Markdown Lifecycle:
Full Price → First Markdown (10-25%) → Second Markdown (30-50%) →
Final Clearance (50-75%) → Liquidation/Donation
Decision Framework:
- When to markdown? Monitor sell-through rate, weeks of supply
- How much to markdown? Based on price elasticity, urgency
- Which SKUs to markdown? Prioritize by age, quantity, margin
- Which stores to markdown? Store-specific or chain-wide
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 1,042 lines · 82 tokens per session scan A 1dafb17389eb
markdown-optimization is a skill published in the GitHub repository kishorkukreja/awesome-supply-chain (65 stars, last pushed 10d ago), licensed MIT. It adds 82 tokens to every session and 8,082 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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